基于自适应噪声抵消的无线传感网络信道优化

Optimization of wireless sensor communication channel based on adaptive noise cancellation

无线传感器网络通信技术广泛应用在物联网近场通信、水声通信等领域。无线传感网络通信信道受到多途干扰,导致信道失衡,需要进行信道均衡模型设计。提出一种基于自适应噪声抵消的无线传感器网络通信信道优化技术,首先构建了无线传感器网络通信的信道模型,对无线传感器网络信道传播过程中衰减损失和各条路径的信号进行重组,采用自适应噪声抵消算法进行信道的多途干扰滤波,结合最小二乘(RLS)准则算法进行无线传感器网络通信信道均衡设计。仿真结果表明,采用该通信信道均衡技术能有效提高无线传感器网络通信的信道质量,降低通信传输失真和误比特率,实现信道自适应均衡,提高通信的抗干扰能力。

Wireless sensor network communication technology is widely applied in the field of Internet of things near field communication,underwater acoustic communication. The wireless sensor network communication channel often encounter the multi-path interference,which lead to an imbalance of channel. Based on the aboved,the paper develops the channel equalization model design.Proposed a wireless sensor communication channel based on adaptive noise cancellation optimization technique. Firstly,build the channel model of wireless sensor network communication. The wireless sensor network communication channel in the process of decay signal loss and various paths of the reorganization,the adaptive noise cancellation algorithm for channel multipath interference filter,combined with the least square（ RLS） criterion algorithm for wireless sensor communications channel equalization design. Simulation results show that using the communication channel equalization technique can effectively improve the quality of the wireless sensor network communication channel,reduce the communication transmission distortion and bit error rate,realize the adaptive channel equalization,therefore improve the anti-interference ability of communication.